In the past, research on Multiprocessor Systems-on-Chip (MPSoC) has focused mainly on increasing the available processing power on a chip, while less effort was put into specific system-level performance analysis, or into behavior prediction. This paper introduces PAM-SoC, a light-weight performance predictor for MPSoC system-level performance. Being based on PAMELA, a static performance predictor for parallel applications, PAM-SoC can compute its prediction in seconds for cases when cycle-accurate simulation takes tens of minutes. The paper includes a set of PAM-SoC validation experiments, as well as two sets of experiments to show how PAM-SoC can be used for either application tuning or MPSoC platform tuning in early system design phases. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Varbanescu, A. L., Sips, H., & Van Gemund, A. (2006). PAM-SoC: A toolchain for predicting MPSoC performance. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4128 LNCS, pp. 111–113). Springer Verlag. https://doi.org/10.1007/11823285_12
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